Google Cloud Ai Platform V1 Client - Class TensorboardServiceClient (0.18.0)

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class TensorboardServiceClient.

Service Description: TensorboardService

This class is currently experimental and may be subject to changes.

Namespace

Google \ Cloud \ AIPlatform \ V1 \ Client

Methods

__construct

Constructor.

Parameters
Name	Description
`options`	`array` Optional. Options for configuring the service API wrapper.
`↳ apiEndpoint`	`string` The address of the API remote host. May optionally include the port, formatted as "
`↳ credentials`	`string\|array\|FetchAuthTokenInterface\|CredentialsWrapper` The credentials to be used by the client to authorize API calls. This option accepts either a path to a credentials file, or a decoded credentials file as a PHP array. Advanced usage: In addition, this option can also accept a pre-constructed Google\Auth\FetchAuthTokenInterface object or Google\ApiCore\CredentialsWrapper object. Note that when one of these objects are provided, any settings in $credentialsConfig will be ignored.
`↳ credentialsConfig`	`array` Options used to configure credentials, including auth token caching, for the client. For a full list of supporting configuration options, see Google\ApiCore\CredentialsWrapper::build() .
`↳ disableRetries`	`bool` Determines whether or not retries defined by the client configuration should be disabled. Defaults to `false`.
`↳ clientConfig`	`string\|array` Client method configuration, including retry settings. This option can be either a path to a JSON file, or a PHP array containing the decoded JSON data. By default this settings points to the default client config file, which is provided in the resources folder.
`↳ transport`	`string\|TransportInterface` The transport used for executing network requests. May be either the string `rest` or `grpc`. Defaults to `grpc` if gRPC support is detected on the system. Advanced usage: Additionally, it is possible to pass in an already instantiated Google\ApiCore\Transport\TransportInterface object. Note that when this object is provided, any settings in $transportConfig, and any $apiEndpoint setting, will be ignored.
`↳ transportConfig`	`array` Configuration options that will be used to construct the transport. Options for each supported transport type should be passed in a key for that transport. For example: $transportConfig = [ 'grpc' => [...], 'rest' => [...], ]; See the Google\ApiCore\Transport\GrpcTransport::build() and Google\ApiCore\Transport\RestTransport::build() methods for the supported options.
`↳ clientCertSource`	`callable` A callable which returns the client cert as a string. This can be used to provide a certificate and private key to the transport layer for mTLS.

batchCreateTensorboardRuns

Batch create TensorboardRuns.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::batchCreateTensorboardRunsAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\BatchCreateTensorboardRunsRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\BatchCreateTensorboardRunsResponse`

batchCreateTensorboardTimeSeries

Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::batchCreateTensorboardTimeSeriesAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\BatchCreateTensorboardTimeSeriesRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\BatchCreateTensorboardTimeSeriesResponse`

batchReadTensorboardTimeSeriesData

Reads multiple TensorboardTimeSeries' data. The data point number limit is 1000 for scalars, 100 for tensors and blob references. If the number of data points stored is less than the limit, all data is returned.

Otherwise, the number limit of data points is randomly selected from this time series and returned.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::batchReadTensorboardTimeSeriesDataAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\BatchReadTensorboardTimeSeriesDataRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\BatchReadTensorboardTimeSeriesDataResponse`

createTensorboard

Creates a Tensorboard.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::createTensorboardAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\CreateTensorboardRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

createTensorboardExperiment

Creates a TensorboardExperiment.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::createTensorboardExperimentAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\CreateTensorboardExperimentRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\TensorboardExperiment`

createTensorboardRun

Creates a TensorboardRun.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::createTensorboardRunAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\CreateTensorboardRunRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\TensorboardRun`

createTensorboardTimeSeries

Creates a TensorboardTimeSeries.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::createTensorboardTimeSeriesAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\CreateTensorboardTimeSeriesRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\TensorboardTimeSeries`

deleteTensorboard

Deletes a Tensorboard.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::deleteTensorboardAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\DeleteTensorboardRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

deleteTensorboardExperiment

Deletes a TensorboardExperiment.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::deleteTensorboardExperimentAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\DeleteTensorboardExperimentRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

deleteTensorboardRun

Deletes a TensorboardRun.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::deleteTensorboardRunAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\DeleteTensorboardRunRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

deleteTensorboardTimeSeries

Deletes a TensorboardTimeSeries.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::deleteTensorboardTimeSeriesAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\DeleteTensorboardTimeSeriesRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

exportTensorboardTimeSeriesData

Exports a TensorboardTimeSeries' data. Data is returned in paginated responses.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::exportTensorboardTimeSeriesDataAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ExportTensorboardTimeSeriesDataRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\PagedListResponse`

getTensorboard

Gets a Tensorboard.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::getTensorboardAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\GetTensorboardRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\Tensorboard`

getTensorboardExperiment

Gets a TensorboardExperiment.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::getTensorboardExperimentAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\GetTensorboardExperimentRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\TensorboardExperiment`

getTensorboardRun

Gets a TensorboardRun.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::getTensorboardRunAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\GetTensorboardRunRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\TensorboardRun`

getTensorboardTimeSeries

Gets a TensorboardTimeSeries.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::getTensorboardTimeSeriesAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\GetTensorboardTimeSeriesRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\TensorboardTimeSeries`

listTensorboardExperiments

Lists TensorboardExperiments in a Location.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::listTensorboardExperimentsAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ListTensorboardExperimentsRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\PagedListResponse`

listTensorboardRuns

Lists TensorboardRuns in a Location.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::listTensorboardRunsAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ListTensorboardRunsRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\PagedListResponse`

listTensorboardTimeSeries

Lists TensorboardTimeSeries in a Location.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::listTensorboardTimeSeriesAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ListTensorboardTimeSeriesRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\PagedListResponse`

listTensorboards

Lists Tensorboards in a Location.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::listTensorboardsAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ListTensorboardsRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\PagedListResponse`

readTensorboardBlobData

Gets bytes of TensorboardBlobs.

This is to allow reading blob data stored in consumer project's Cloud Storage bucket without users having to obtain Cloud Storage access permission.

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ReadTensorboardBlobDataRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ timeoutMillis`	`int` Timeout to use for this call.

Returns
Type	Description
`Google\ApiCore\ServerStream`

readTensorboardTimeSeriesData

Reads a TensorboardTimeSeries' data. By default, if the number of data points stored is less than 1000, all data is returned. Otherwise, 1000 data points is randomly selected from this time series and returned.

This value can be changed by changing max_data_points, which can't be greater than 10k.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::readTensorboardTimeSeriesDataAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ReadTensorboardTimeSeriesDataRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\ReadTensorboardTimeSeriesDataResponse`

readTensorboardUsage

Returns a list of monthly active users for a given TensorBoard instance.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::readTensorboardUsageAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ReadTensorboardUsageRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\ReadTensorboardUsageResponse`

updateTensorboard

Updates a Tensorboard.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::updateTensorboardAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\UpdateTensorboardRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

updateTensorboardExperiment

Updates a TensorboardExperiment.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::updateTensorboardExperimentAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\UpdateTensorboardExperimentRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\TensorboardExperiment`

updateTensorboardRun

Updates a TensorboardRun.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::updateTensorboardRunAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\UpdateTensorboardRunRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\TensorboardRun`

updateTensorboardTimeSeries

Updates a TensorboardTimeSeries.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::updateTensorboardTimeSeriesAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\UpdateTensorboardTimeSeriesRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\TensorboardTimeSeries`

writeTensorboardExperimentData

Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's. If any data fail to be ingested, an error is returned.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::writeTensorboardExperimentDataAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\WriteTensorboardExperimentDataRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\WriteTensorboardExperimentDataResponse`

writeTensorboardRunData

Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If any data fail to be ingested, an error is returned.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::writeTensorboardRunDataAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\WriteTensorboardRunDataRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\WriteTensorboardRunDataResponse`

getLocation

Gets information about a location.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::getLocationAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\Location\GetLocationRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\Location\Location`

listLocations

Lists information about the supported locations for this service.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::listLocationsAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\Location\ListLocationsRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\PagedListResponse`

getIamPolicy

Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::getIamPolicyAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\Iam\V1\GetIamPolicyRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\Iam\V1\Policy`

setIamPolicy

Sets the access control policy on the specified resource. Replaces any existing policy.

Can return NOT_FOUND, INVALID_ARGUMENT, and PERMISSION_DENIED errors.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::setIamPolicyAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\Iam\V1\SetIamPolicyRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\Iam\V1\Policy`

testIamPermissions

Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error.

Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.

The async variant is Google\Cloud\AIPlatform\V1\Client\BaseClient\self::testIamPermissionsAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\Iam\V1\TestIamPermissionsRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\Iam\V1\TestIamPermissionsResponse`

batchCreateTensorboardRunsAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\BatchCreateTensorboardRunsRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

batchCreateTensorboardTimeSeriesAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\BatchCreateTensorboardTimeSeriesRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

batchReadTensorboardTimeSeriesDataAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\BatchReadTensorboardTimeSeriesDataRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

createTensorboardAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\CreateTensorboardRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

createTensorboardExperimentAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\CreateTensorboardExperimentRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

createTensorboardRunAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\CreateTensorboardRunRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

createTensorboardTimeSeriesAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\CreateTensorboardTimeSeriesRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

deleteTensorboardAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\DeleteTensorboardRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

deleteTensorboardExperimentAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\DeleteTensorboardExperimentRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

deleteTensorboardRunAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\DeleteTensorboardRunRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

deleteTensorboardTimeSeriesAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\DeleteTensorboardTimeSeriesRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

exportTensorboardTimeSeriesDataAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ExportTensorboardTimeSeriesDataRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

getTensorboardAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\GetTensorboardRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

getTensorboardExperimentAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\GetTensorboardExperimentRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

getTensorboardRunAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\GetTensorboardRunRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

getTensorboardTimeSeriesAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\GetTensorboardTimeSeriesRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

listTensorboardExperimentsAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ListTensorboardExperimentsRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

listTensorboardRunsAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ListTensorboardRunsRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

listTensorboardTimeSeriesAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ListTensorboardTimeSeriesRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

listTensorboardsAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ListTensorboardsRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

readTensorboardTimeSeriesDataAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ReadTensorboardTimeSeriesDataRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

readTensorboardUsageAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\ReadTensorboardUsageRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

updateTensorboardAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\UpdateTensorboardRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

updateTensorboardExperimentAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\UpdateTensorboardExperimentRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

updateTensorboardRunAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\UpdateTensorboardRunRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

updateTensorboardTimeSeriesAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\UpdateTensorboardTimeSeriesRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

writeTensorboardExperimentDataAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\WriteTensorboardExperimentDataRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

writeTensorboardRunDataAsync

Parameters
Name	Description
`request`	`Google\Cloud\AIPlatform\V1\WriteTensorboardRunDataRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

getLocationAsync

Parameters
Name	Description
`request`	`Google\Cloud\Location\GetLocationRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

listLocationsAsync

Parameters
Name	Description
`request`	`Google\Cloud\Location\ListLocationsRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

getIamPolicyAsync

Parameters
Name	Description
`request`	`Google\Cloud\Iam\V1\GetIamPolicyRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

setIamPolicyAsync

Parameters
Name	Description
`request`	`Google\Cloud\Iam\V1\SetIamPolicyRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

testIamPermissionsAsync

Parameters
Name	Description
`request`	`Google\Cloud\Iam\V1\TestIamPermissionsRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

getOperationsClient

Return an OperationsClient object with the same endpoint as $this.

Returns
Type	Description
`Google\ApiCore\LongRunning\OperationsClient`

resumeOperation

Resume an existing long running operation that was previously started by a long running API method. If $methodName is not provided, or does not match a long running API method, then the operation can still be resumed, but the OperationResponse object will not deserialize the final response.

Parameters
Name	Description
`operationName`	`string` The name of the long running operation
`methodName`	`string` The name of the method used to start the operation

Returns
Type	Description
`Google\ApiCore\OperationResponse`

static::locationName

Formats a string containing the fully-qualified path to represent a location resource.

Parameters
Name	Description
`project`	`string`
`location`	`string`

Returns
Type	Description
`string`	The formatted location resource.

static::tensorboardName

Formats a string containing the fully-qualified path to represent a tensorboard resource.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`tensorboard`	`string`

Returns
Type	Description
`string`	The formatted tensorboard resource.

static::tensorboardExperimentName

Formats a string containing the fully-qualified path to represent a tensorboard_experiment resource.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`tensorboard`	`string`
`experiment`	`string`

Returns
Type	Description
`string`	The formatted tensorboard_experiment resource.

static::tensorboardRunName

Formats a string containing the fully-qualified path to represent a tensorboard_run resource.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`tensorboard`	`string`
`experiment`	`string`
`run`	`string`

Returns
Type	Description
`string`	The formatted tensorboard_run resource.

static::tensorboardTimeSeriesName

Formats a string containing the fully-qualified path to represent a tensorboard_time_series resource.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`tensorboard`	`string`
`experiment`	`string`
`run`	`string`
`timeSeries`	`string`

Returns
Type	Description
`string`	The formatted tensorboard_time_series resource.

static::parseName

Parses a formatted name string and returns an associative array of the components in the name.

The following name formats are supported: Template: Pattern

location: projects/{project}/locations/{location}
tensorboard: projects/{project}/locations/{location}/tensorboards/{tensorboard}
tensorboardExperiment: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}
tensorboardRun: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}
tensorboardTimeSeries: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}

The optional $template argument can be supplied to specify a particular pattern, and must match one of the templates listed above. If no $template argument is provided, or if the $template argument does not match one of the templates listed, then parseName will check each of the supported templates, and return the first match.

Parameters
Name	Description
`formattedName`	`string` The formatted name string
`template`	`string` Optional name of template to match

Returns
Type	Description
`array`	An associative array from name component IDs to component values.